PHPCLANCHILDES with regular expressions

10 matches in 9 utterances

4.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (606 utterances, 2,121 words searched).

  1. show [/] show Caroline Thomas on the next page ? MOT · eng_british_Manchester_II/joel05a.cha, line 273 · Joel 2;00
  2. <what's she got> [//] what does Thomas do ? MOT · eng_british_Manchester_II/joel05a.cha, line 275 · Joel 2;00
  3. Thomas isn't very happy with the snow, is he ? MOT · eng_british_Manchester_II/joel05a.cha, line 298 · Joel 2;00
  4. Thomas isn't very happy, is he ? MOT · eng_british_Manchester_II/joel05a.cha, line 426 · Joel 2;00
  5. with Thomas . MOT · eng_british_Manchester_II/joel05a.cha, line 601 · Joel 2;00
  6. Thomas . MOT · eng_british_Manchester_II/joel05a.cha, line 771 · Joel 2;00
  7. it's a Thomas badge on a Thomas card . MOT · eng_british_Manchester_II/joel05a.cha, line 909 · Joel 2;00
  8. it's a Thomas badge on a Thomas card . MOT · eng_british_Manchester_II/joel05a.cha, line 909 · Joel 2;00
  9. and Thomas went on that one . MOT · eng_british_Manchester_II/joel05a.cha, line 939 · Joel 2;00
  10. and who's <on your> [//] on the card with Thomas ? MOT · eng_british_Manchester_II/joel05a.cha, line 941 · Joel 2;00
  1. INVmmhm .
    MOTxxx .
    MOT*MOT: show [/] show Caroline Thomas on the next page ?
    MOT<what's she got> [//] what does Thomas do ?
    MOTare you going to pull it ?
  2. MOTxxx .
    MOTshow [/] show Caroline Thomas on the next page ?
    MOT*MOT: <what's she got> [//] what does Thomas do ?
    MOTare you going to pull it ?
    MOToh .
  3. MOTsnow .
    MOTsnow .
    MOT*MOT: Thomas isn't very happy with the snow, is he ?
    CHIxxx happy .
    INVwww .
  4. CHIsnow .
    MOTsnow .
    MOT*MOT: Thomas isn't very happy, is he ?
    CHIthat back .
    MOTyou put it back ?
  5. MOTyeah .
    MOTthat one's from Mummy and Daddy, wasn't it ?
    MOT*MOT: with Thomas .
    CHIMummy .
    MOTyes .
  6. MOTwho's that ?
    CHIThomas .
    MOT*MOT: Thomas .
    MOToh .
    MOToh look .
  7. CHIyeah .
    MOTyeah .
    MOT*MOT: it's a Thomas badge on a Thomas card .
    MOTxxx that one .
    MOTwhich badge went on +...
  8. MOTwhoops .
    MOTthat's it .
    MOT*MOT: and Thomas went on that one .
    MOTand who's <on your> [//] on the card with Thomas ?
    MOTI think it's lost it's stick .
  9. MOTthat's it .
    MOTand Thomas went on that one .
    MOT*MOT: and who's <on your> [//] on the card with Thomas ?
    MOTI think it's lost it's stick .
    MOTit's not very sticky any more, is it ?

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Joel eng_british_Manchester_II4.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/joel05a.chaJoel 2;0.122,1219104.71

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. thomas10 · 100.0%